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Data Marketplace · Companies & locations

Yelp Business Locations Dataset

Map public Yelp business listings with categories, addresses, hours, ratings, and location context for selected markets.

Request Yelp sampleView fields
  • Records Business · Location · Category
  • Source Yelp
  • Formats JSON · CSV · Parquet
Public Yelp listings become business and location records with category, address, hours, rating, and selected-market context

Schema and fields

Build on Yelp records with context attached.

business_namestring

Displayed listing name

listing_urlurl

Public source URL

categoriesarray

Displayed business categories

addressobject

Location components

coordinatesobject

Available map position

hoursarray

Displayed operating hours

ratingdecimal

Observed rating summary

captured_attimestamp

Collection time

Freshness and delivery

Keep Yelp data aligned with your analysis cycle.

Set the refresh around how often listing attributes, hours, categories, and rating summaries need to update the location view.

SnapshotStart from a dated baselineSelected scope and collection window
RefreshReceive recurring updatesCadence and change behavior
FormatUse JSON, CSV, or ParquetSchema, partitioning, and manifest
ValidationRun repeatable checksCounts, fields, missing states, and version

Yelp applications

Put Yelp records to work.

01

Local market mapping

Build selected place inventories by category, geography, and public listing context.

02

Location record enrichment

Add public addresses, categories, hours, and source URLs to business-location records.

03

Listing change research

Compare observed hours, category, rating, and listing-state changes across deliveries.

From sample to production

Test Yelp Business Locations records in your data stack.

  1. 01

    Choose the useful scope

    Select the entities, markets, fields, dates, and business output the collection should support.

  2. 02

    Run a sample through your stack

    Check identifiers, fields, joins, missing states, and source context with your own queries or models.

  3. 03

    Set the delivery pattern

    Choose the snapshot or recurring schedule, file format, partitions, manifest, and destination.

Yelp dataset FAQ

Plan the right Yelp Business Locations collection.

What does the Yelp Business Locations Dataset include?

Map public Yelp business listings with categories, addresses, hours, ratings, and location context for selected markets.

What can I build with Yelp data?

  • Local market mapping

  • Location record enrichment

  • Listing change research

How can the Yelp dataset stay current?

Set the refresh around how often listing attributes, hours, categories, and rating summaries need to update the location view.

When should I use the Yelp API instead?

Use the on-demand API when your application chooses individual requests and timing. Choose this dataset for a prepared bulk snapshot or recurring file delivery.

Continue the data journey

Connect Yelp data to the wider use case.

Start with real records

Request a Yelp dataset sample.

Share the sources, fields, markets, and dates you need. Review a sample before choosing delivery.

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